Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death.
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| Title: | Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death. |
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| Authors: | Krauland MG; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania., Frankeny RJ; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania., Lewis J; Allegheny County Department of Health, Pittsburgh, Pennsylvania., Brink L; Allegheny County Department of Health, Pittsburgh, Pennsylvania., Hulsey EG; Allegheny County Department of Health, Pittsburgh, Pennsylvania., Roberts MS; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania., Hacker KA; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Allegheny County Department of Health, Pittsburgh, Pennsylvania. |
| Source: | JAMA network open [JAMA Netw Open] 2020 Sep 01; Vol. 3 (9), pp. e2015047. Date of Electronic Publication: 2020 Sep 01. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 32870312 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Krauland+MG%22">Krauland MG</searchLink>; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Frankeny+RJ%22">Frankeny RJ</searchLink>; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Lewis+J%22">Lewis J</searchLink>; Allegheny County Department of Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Brink+L%22">Brink L</searchLink>; Allegheny County Department of Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Hulsey+EG%22">Hulsey EG</searchLink>; Allegheny County Department of Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Roberts+MS%22">Roberts MS</searchLink>; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Hacker+KA%22">Hacker KA</searchLink>; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.; Allegheny County Department of Health, Pittsburgh, Pennsylvania. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101729235%22">JAMA network open</searchLink> [JAMA Netw Open] 2020 Sep 01; Vol. 3 (9), pp. e2015047. <i>Date of Electronic Publication: </i>2020 Sep 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101729235 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-3805 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225743805%22">25743805 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Netw Open <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32870312 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1001/jamanetworkopen.2020.15047 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e2015047 Titles: – TitleFull: Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krauland MG – PersonEntity: Name: NameFull: Frankeny RJ – PersonEntity: Name: NameFull: Lewis J – PersonEntity: Name: NameFull: Brink L – PersonEntity: Name: NameFull: Hulsey EG – PersonEntity: Name: NameFull: Roberts MS – PersonEntity: Name: NameFull: Hacker KA IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2020 Sep 01 Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 2574-3805 Numbering: – Type: volume Value: 3 – Type: issue Value: 9 Titles: – TitleFull: JAMA network open Type: main |
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